AI SOLUTIONS
Commerce Intelligence
Recover Abandoned Shopping Journeys.
Brands that respond with the right message at the right time recover revenue that most teams leave behind. The purchase intent is already there — the infrastructure to act on it, at the individual level, often isn't.
15-25%
Rate of recovery of abandoned carts
5-10%
Increase in overall ecommerce revenue
20-40%
Reduction in cost per recovery
The Problem
High-intent shoppers abandon every day. Most recovery efforts aren't built to win them back.
High-intent shoppers abandon carts and checkout flows every day, yet recovery efforts are often generic and slow. That leaves meaningful revenue behind even when the customer has already shown clear purchase intent. Teams know abandonment matters but struggle to respond with enough relevance and timing precision.
Recovery Messages Are Generic and Delayed
Standard abandonment messages fire hours after the moment of intent and offer the same message to every shopper, regardless of what they left behind, their purchase history, or how valuable they are to the business.
High-Intent Signals Are Visible but Ignored
Cart value, browsing depth, session time, and product category reveal purchase probability, but most recovery programs treat all abandonment events as equal. High-value and low-value abandonment receive the same response.
Every Abandonment Gets the Same Discount
Blanket incentive offers train high-probability customers to abandon on purpose and wait for the discount. This erodes margin on recoveries that would have happened anyway and conditions bad purchasing behavior at scale.
Timing Windows Close Before Outreach Fires
Purchase intent peaks in the first hour after abandonment. When recovery sequences are triggered by batch processes rather than real-time signals, the highest-value moments pass before the first message is delivered.
Recovery Rate Cannot Be Measured Cleanly
Most teams track open rates and clicks on recovery emails but cannot isolate incremental revenue from customers who would have returned regardless. Without holdout testing, recovery ROI is consistently overstated.
Multichannel Recovery Is Operationally Complex
Coordinating email, SMS, push, and retargeting around a single abandonment event requires technical integrations and content workflows most teams haven't built, leaving the most effective recovery channels underutilized.
How It Works
Every engagement starts with a Diagnostic Sprint.
Before any build or activation, we define the problem precisely, assess your data readiness, and recommend the right delivery path. Data readiness is the most common reason AI projects stall — our diagnostic process surfaces that reality before it becomes a problem.
- DISCOVERWks 1–2
Define & Align
Align stakeholders on the abandonment problem, define the cart and journey stages in scope, and establish the revenue recovery and conversion KPIs that will measure success.
- AUDITWks 2–5
Assess Data & Stack
Evaluate behavioral tracking completeness, cart and session data quality, and existing recovery automation capability across your ecommerce and marketing platform stack.
- RECOMMENDWk 6
Deliver the Path Forward
Deliver a roadmap with data requirements, platform specifications, investment estimate, and projected recovery revenue improvement for leadership to commit.
Following the Diagnostic Sprint, the right delivery path is confirmed.
Your behavioral data completeness, existing platform AI capabilities, and timeline reality determine which path fits. When the solution requires a proprietary intent scoring model trained on your specific cart, session, and purchase history data, we architect and engineer it from the ground up (Custom Build). When recovery automation capabilities already exist within your ecommerce platform, CRM, or marketing automation stack, we configure, connect, and deploy them (Platform Enablement). Both paths converge on the same commitment: defined timelines, clear deliverables at every phase, and a controlled pilot before full-scale deployment.
- ARCHITECTWks 7–10
Design the Intent Scoring Model
Design the abandonment intent scoring model, define signal logic and recovery sequence architecture, and map every output to a specific incentive decision before engineering begins.
- ENGINEERWks 10–24
Build & Deploy
Build data pipelines from ecommerce, CRM, and behavioral platforms, deploy the scoring environment, and configure marketing platforms to execute recovery sequences.
- LAUNCHWks 24–32
Pilot, Validate & Scale
Pilot with a defined abandonment cohort and holdout group, validate recovery rate and incremental revenue against baseline, and deploy at full scale once benchmarks are met.
- ARCHITECTWks 7–10
Design the Intent Scoring Model
Design the abandonment intent scoring model, define signal logic and recovery sequence architecture, and map every output to a specific incentive decision before engineering begins.
- ENGINEERWks 10–24
Build & Deploy
Build data pipelines from ecommerce, CRM, and behavioral platforms, deploy the scoring environment, and configure marketing platforms to execute recovery sequences.
- LAUNCHWks 24–32
Pilot, Validate & Scale
Pilot with a defined abandonment cohort and holdout group, validate recovery rate and incremental revenue against baseline, and deploy at full scale once benchmarks are met.
- DESIGNWks 7–9
Map to Platform Capabilities
Map abandonment recovery requirements to AI capabilities already available in existing ecommerce, CRM, and marketing automation platforms.
- CONFIGUREWks 9–15
Connect, Activate & Build
Connect behavioral and cart data, activate AI-driven recovery features, and build personalized sequence logic, incentive rules, and channel routing within your existing stack.
- DEPLOYWks 15–22
Pilot, Validate & Enable
Pilot recovery sequences with a live abandonment cohort, validate recovery rate and revenue lift versus holdout baseline, and move to full platform enablement.
What You Get
Automated, actionable, and live in your stack.
The solution transforms your data into scored intelligence, automated actions, and measurable improvements to revenue and marketing performance.
Intent-Scored Abandonment Segments
Every abandonment event is scored on recovery probability and assigned to a recovery tier that flows automatically to your email, push, SMS, and retargeting platforms with the right tactic.
Personalized Recovery Sequences
Tailored recovery messages fire across the right channels at the right moments, calibrated to cart value, product category, purchase history, and individual channel preference — without manual campaign management.
Incentive Optimization Logic
The model determines whether an incentive is needed and at what level — preventing unnecessary discounting for high-probability recoveries and preserving margin while still recovering the sale.
Net Revenue Attribution
Every recovery sequence includes a holdout-based measurement framework, so your team knows exactly how much incremental revenue the program generated versus a baseline — not just recovery rates.
The Impact
Measurable outcomes from day one of deployment.
15-25%
Rate of Cart Recovery
5-10%
Increase in Ecommerce Revenue
20-40%
Reduction in Cost per Recovery
Recover revenue from customers who have already shown purchase intent — without acquiring new audiences or increasing media spend.
Personalize every recovery sequence at the individual level: the right channel, the right message, the right incentive decision, automatically.
Holdout-based measurement proves exactly how much incremental revenue the program generates, creating a clear ROI case for continued investment.